Analysis and Assessment of Lithuanian Road Accidents by AHP Method

Jakimavičius, Marius

doi:10.7250/bjrbe.2018-13.414

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…AHP метода је широко примењена у саобраћају. Једна је од најчешће коришћених вишекритеријумских метода у избору решења у планирању [10], пројектовању, одржавању [11], реконструкцији саобраћајне инфраструктуре [12] и безбедности саобраћаја [13,14].…”

Section: методологијаunclassified

Multi – criteria analysis of toll collection technologies from a financial and economic aspect

Marković,

Komarica

2024

PIS

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The choice of the appropriate toll collection system is a very important decision because it requires significant investment and a poor decision regarding the choice of toll collection system can lead to major economic, environmental, and social problems for both present and future generations. This study aims to propose a methodological framework for decision support in selecting toll collection systems based on comprehensive multi-criteria analysis. The selection of the most effective toll collection system was performed from financial and economic aspects, using the AHP method. The study included 9 different toll collection technologies: DSRC with barriers, DSRC MLFF, RFID, GNSS/CN, ACM, ANPR, SmartCard, Smartphone, and vignettes. By the defined problem and specific priorities, it was found that GNSS/CN (0.174) is the best toll-collection technology. RFID toll collection technology (0.169) and DSRC MLFF technology (0.163) are equally good, while automated toll payment booths (0.040) are at the bottom. The obtained results can help decision-makers when choosing the most profitable toll-collection technology from the financial and economic aspects.

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Section: методологијаunclassified

Multi – criteria analysis of toll collection technologies from a financial and economic aspect

Marković,

Komarica

2024

PIS

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“…The land cover change (a 0.48% change rate per year) in the country is slowing, mainly due to a rapid decrease in the intensity of forest conversion [58]. In 2017, there were 21,244 km of State-owned roads of national significance (excluding roads in cities): 1751 km of main roads; 4925 km of national roads; and 14,568 km of regional roads [59]. In this study, we analysed 1784 roads (21 main/highway, 13 national, and 1631 regional) as shown in Figure 1.…”

Section: Study Areamentioning

confidence: 99%

“…In the period 2002-2017, the annual average daily traffic (AADT) increased from 5600 to 11,000 vehicles a day on main roads, from 2200 to 2900 vehicles a day on national roads, and remained at up to 500 vehicles a day on regional roads [60]. In 2017, there were 21,244 km of State-owned roads of national significance (excluding roads in cities): 1751 km of main roads; 4925 km of national roads; and 14,568 km of regional roads [59]. In this study, we analysed 1784 roads (21 main/highway, 13 national, and 1631 regional) as shown in Figure 1.…”

Section: Study Areamentioning

confidence: 99%

Roadkill-Data-Based Identification and Ranking of Mammal Habitats

Kučas

Balčiauskas

2021

Land

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Wildlife–vehicle collisions, as well as environmental factors that affect collisions and mitigation measures, are usually modelled and analysed in the vicinity of or within roads, while habitat attractiveness to wildlife along with risk to drivers remain mostly underestimated. The main goal of this study was the identification, characterisation, and ranking of mammalian habitats in Lithuania in relation to 2002–2017 roadkill data. We identified habitat patches as areas (varying from 1 to 1488 square kilometres) isolated by neighbouring roads characterised by at least one wildlife–vehicle collision hotspot. We ranked all identified habitats on the basis of land cover, the presence of an ecological corridor, a mammalian pathway, and roadkill hotspot data. A ranking scenario describing both habitat attractiveness to wildlife and the risk to drivers was defined and applied. Ranks for each habitat were calculated using multiple criteria spatial decision support techniques. Multiple regression analyses were used to identify the relationship between habitat ranks, species richness, and land cover classes. Strong relationships were identified and are discussed between the habitat patch ranks in five (out of 28) land cover classes and in eight (out of 28) species (97% of all mammal road kills). We conclude that, along with conventional roadkill hotspot identification, roadkill-based habitat identification and characterisation as well as species richness analysis should be used in road safety infrastructure planning.

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“…Hajeeh (2012) presented the number of violations and car accidents in the period 2000-2009 and by using the AHP method found that in order to solve traffic problems in Kuwait, it is necessary to reduce the number of traffic accidents and congestion. Analysis of traffic accidents (2013)(2014)(2015)(2016)(2017) is also illustrated in research by Jakimavičius (2018) where the author used the AHP method for ranking road sections and the result presents 3 most dangerous sections, which are identified as black spots. Anđelković et al (2018) have presented a new statistical model for the identification of dangerous locations (subsections) on roads, also known as hotspots.…”

Section: Introductionmentioning

confidence: 99%

A New Methodology for Treating Problems in the Field of Traffic Safety: Case Study of Libyan Cities

Badi,

Stević,

Radović

et al. 2023

Transport

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Traffic safety is an area of great importance, since there are many traffic accidents every day in which a significant number of people are killed. Defining certain strategies and identifying potentially the most dangerous towns and cities regarding this area are, on the one hand, a necessity, and, on the other hand, a challenge. In this paper, integrated Multi-Criteria Decision-Making (MCDM) model for ranking cities in Libya from the aspect of traffic safety has been proposed. The model implies a set of 8 criteria on the basis of which 5 decision-makers rated the 10 most deprived cities in Libya. The Full Consistency Model (FUCOM) in combination with the rough Dombi aggregator is used to determine the significance of the criteria. The Rough Simple Additive Weighting (R-SAW) method is used to rank the alternatives. The rough Dombi aggregator is also used for averaging in group decision-making while evaluating the alternatives. The stability of the model and the obtained results has been verified by the sensitivity analysis, which implies a 2-phase procedure. In the 1st phase, rough Additive Ratio Assessment (R-ARAS), Rough Weighted Aggregated Sum Product Assessment (R-WASPAS), Rough Complex Proportional Assessment (R-COPRAS) and Rough Multi-Attributive Border Approximation-area Comparison (R-MABAC) methods are applied. The 2nd phase implies changing the parameter ρ in the procedure of rough Dombi aggregator, while the 3rd phase includes the calculation of Spearman’s Correlation Coefficient (SCC) that shows a high correlation of ranks.

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Analysis and Assessment of Lithuanian Road Accidents by AHP Method

Cited by 6 publications

References 23 publications

Multi – criteria analysis of toll collection technologies from a financial and economic aspect

Multi – criteria analysis of toll collection technologies from a financial and economic aspect

Roadkill-Data-Based Identification and Ranking of Mammal Habitats

A New Methodology for Treating Problems in the Field of Traffic Safety: Case Study of Libyan Cities

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